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Computer Vision – ECCV 2010

Overview of attention for book
Cover of 'Computer Vision – ECCV 2010'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Constrained Spectral Clustering via Exhaustive and Efficient Constraint Propagation
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    Chapter 2 Object Recognition with Hierarchical Stel Models
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    Chapter 3 MIForests: Multiple-Instance Learning with Randomized Trees
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    Chapter 4 Manifold Valued Statistics, Exact Principal Geodesic Analysis and the Effect of Linear Approximations
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    Chapter 5 Stacked Hierarchical Labeling
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    Chapter 6 Fully Isotropic Fast Marching Methods on Cartesian Grids
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    Chapter 7 Clustering Complex Data with Group-Dependent Feature Selection
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    Chapter 8 On Parameter Learning in CRF-Based Approaches to Object Class Image Segmentation
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    Chapter 9 Exploring the Identity Manifold: Constrained Operations in Face Space
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    Chapter 10 Multi-label Linear Discriminant Analysis
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    Chapter 11 Convolutional Learning of Spatio-temporal Features
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    Chapter 12 Learning Pre-attentive Driving Behaviour from Holistic Visual Features
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    Chapter 13 Detecting People Using Mutually Consistent Poselet Activations
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    Chapter 14 Disparity Statistics for Pedestrian Detection: Combining Appearance, Motion and Stereo
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    Chapter 15 Multi-stage Sampling with Boosting Cascades for Pedestrian Detection in Images and Videos
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    Chapter 16 Learning to Detect Roads in High-Resolution Aerial Images
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    Chapter 17 Thinking Inside the Box: Using Appearance Models and Context Based on Room Geometry
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    Chapter 18 A Structural Filter Approach to Human Detection
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    Chapter 19 Geometric Constraints for Human Detection in Aerial Imagery
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    Chapter 20 Handling Urban Location Recognition as a 2D Homothetic Problem
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    Chapter 21 Recursive Coarse-to-Fine Localization for Fast Object Detection
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    Chapter 22 A Local Bag-of-Features Model for Large-Scale Object Retrieval
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    Chapter 23 Velocity-Dependent Shutter Sequences for Motion Deblurring
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    Chapter 24 Colorization for Single Image Super Resolution
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    Chapter 25 Programmable Aperture Camera Using LCoS
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    Chapter 26 A New Algorithmic Approach for Contrast Enhancement
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    Chapter 27 Seeing through Obscure Glass
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    Chapter 28 A Continuous Max-Flow Approach to Potts Model
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    Chapter 29 Hybrid Compressive Sampling via a New Total Variation TVL1
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    Chapter 30 Perspective Imaging under Structured Light
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    Chapter 31 Lighting and Pose Robust Face Sketch Synthesis
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    Chapter 32 Predicting Facial Beauty without Landmarks
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    Chapter 33 Gabor Feature Based Sparse Representation for Face Recognition with Gabor Occlusion Dictionary
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    Chapter 34 Motion Profiles for Deception Detection Using Visual Cues
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    Chapter 35 A Robust and Scalable Approach to Face Identification
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    Chapter 36 Emotion Recognition from Arbitrary View Facial Images
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    Chapter 37 Face Liveness Detection from a Single Image with Sparse Low Rank Bilinear Discriminative Model
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    Chapter 38 Robust Head Pose Estimation Using Supervised Manifold Learning
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    Chapter 39 Knowledge Based Activity Recognition with Dynamic Bayesian Network
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    Chapter 40 View and Style-Independent Action Manifolds for Human Activity Recognition
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    Chapter 41 Figure-Ground Image Segmentation Helps Weakly-Supervised Learning of Objects
  43. Altmetric Badge
    Chapter 42 Enhancing Interactive Image Segmentation with Automatic Label Set Augmentation
  44. Altmetric Badge
    Chapter 43 Hough Transform and 3D SURF for Robust Three Dimensional Classification
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

policy
1 policy source
patent
2 patents
wikipedia
2 Wikipedia pages

Readers on

mendeley
236 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Computer Vision – ECCV 2010
Published by
ADS, September 2010
DOI 10.1007/978-3-642-15567-3
ISBNs
978-3-64-215566-6, 978-3-64-215567-3
Editors

Daniilidis, Kostas, Maragos, Petros, Paragios, Nikos

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 236 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 3%
Germany 4 2%
United Kingdom 3 1%
China 3 1%
France 2 <1%
Japan 2 <1%
Spain 2 <1%
Brazil 2 <1%
Turkey 2 <1%
Other 13 6%
Unknown 196 83%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 88 37%
Student > Master 39 17%
Researcher 35 15%
Student > Bachelor 16 7%
Professor > Associate Professor 12 5%
Other 46 19%
Readers by discipline Count As %
Computer Science 143 61%
Engineering 47 20%
Unspecified 21 9%
Business, Management and Accounting 4 2%
Design 4 2%
Other 17 7%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 December 2022.
All research outputs
#2,940,048
of 26,017,215 outputs
Outputs from ADS
#1,533
of 27,022 outputs
Outputs of similar age
#11,392
of 108,766 outputs
Outputs of similar age from ADS
#14
of 336 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 27,022 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done particularly well, scoring higher than 93% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 108,766 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 336 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.